release: sochdb-python-sdk v0.5.6

- create_index: add ef_search parameter support (default 0 = server default)
- search: change ef default from 50 to 0 (use server-side index default)
- Bump version to 0.5.6

Author: sushanthpy

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sochdb"
-version = "0.5.5"
+version = "0.5.6"
 description = "SochDB is an AI-native database with token-optimized output, O(|path|) lookups, built-in vector search, and durable transactions."
 readme = "README.md"
 license = {text = "Apache-2.0"}

src/sochdb/__init__.py

@@ -32,7 +32,7 @@
     client.put_kv("key", b"value")
 """
 
-__version__ = "0.5.4"
+__version__ = "0.5.6"
 
 # Embedded mode (FFI)
 from .database import Database, Transaction, IsolationLevel

src/sochdb/grpc_client.py

@@ -131,7 +131,8 @@ def create_index(
         dimension: int,
         metric: str = "cosine",
         m: int = 16,
-        ef_construction: int = 200
+        ef_construction: int = 200,
+        ef_search: int = 0
     ) -> bool:
         """Create a new vector index."""
         stub = self._get_stub("VectorIndexService")
@@ -143,7 +144,8 @@ def create_index(
             metric=getattr(sochdb_pb2, f"DISTANCE_METRIC_{metric.upper()}", 2),
             config=sochdb_pb2.HnswConfig(
                 max_connections=m,
-                ef_construction=ef_construction
+                ef_construction=ef_construction,
+                ef_search=ef_search
             )
         ))
         return response.success
@@ -173,7 +175,7 @@ def search(
         index_name: str,
         query: List[float],
         k: int = 10,
-        ef: int = 50
+        ef: int = 0
     ) -> List[SearchResult]:
         """Search for k-nearest neighbors."""
         stub = self._get_stub("VectorIndexService")